supermemoryai/supermemory

This page introduces an external open-source repository. It is not an HDATF product.

What it does

Supermemory is a memory and context layer for AI that extracts facts from conversations, keeps user profiles, handles updates and contradictions, forgets expired information, and combines memory with document search. It can run fully locally.

How it helps ATF

Its handling of changing facts, contradictions and forgetting could be a reference for Harness memory. Its connectors to sources such as Google Drive and Notion are worth comparing with how Company Brain links company material to work.

License

MIT Permissive. Commercial use and changes are allowed if the copyright notice is kept.

More in this category

• topoteretes/cognee
  Cognee is an open-source memory platform for AI agents. It ingests data in various formats, builds a self-hosted knowledge graph, and lets agents recall past context, decisions and learned rules across sessions.
• rohitg00/agentmemory
  A persistent memory server for coding agents such as Claude Code, Codex CLI, Cursor and Gemini CLI, and for any MCP client. It extends Karpathy's LLM Wiki pattern with confidence scoring, lifecycle, knowledge graphs and hybrid search.
• TencentCloud/TencentDB-Agent-Memory
  TencentDB Agent Memory is a team memory hub for AI agents. It turns conversations, documents and code into Chat Memory, Skills, an LLM-Wiki and a Code-Graph that can be governed and shared across agents and frameworks.
• MemPalace/mempalace
  MemPalace stores AI conversation history as verbatim text, without summarizing, and retrieves it with semantic search. Its index organizes people, projects and topics so searches can be scoped, and data stays local unless the user opts in.
• akitaonrails/ai-memory
  ai-memory is a self-hosted memory server shared across coding agents, so a task started in Claude Code can continue in Codex. Memory is kept as a git-backed Markdown wiki, with team sharing and an audit log.

Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.